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PORemoving background noisy lines from Captcha Image using PYTHON PIL
 

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  1. PORemoving background noisy lines from Captcha Image using PYTHON PIL
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    <p>I have a processed captcha image(Enlarged) look like :<br> <img src="https://i.stack.imgur.com/oeDUH.gif" alt="captcha"></p> <p>As you can see, the font-size of the "TEXT" is bit larger than the width of the Noisy Lines.<br> So I need an algorithm or code to remove the noisy lines from this image.</p> <p>With the help of Python PIL Library and the chopping algorithm mentioned below I din't get the output image which could be easily read by OCRs.</p> <p>Here's Python code that I tried :</p> <pre><code>import PIL.Image import sys # python chop.py [chop-factor] [in-file] [out-file] chop = int(sys.argv[1]) image = PIL.Image.open(sys.argv[2]).convert('1') width, height = image.size data = image.load() # Iterate through the rows. for y in range(height): for x in range(width): # Make sure we're on a dark pixel. if data[x, y] &gt; 128: continue # Keep a total of non-white contiguous pixels. total = 0 # Check a sequence ranging from x to image.width. for c in range(x, width): # If the pixel is dark, add it to the total. if data[c, y] &lt; 128: total += 1 # If the pixel is light, stop the sequence. else: break # If the total is less than the chop, replace everything with white. if total &lt;= chop: for c in range(total): data[x + c, y] = 255 # Skip this sequence we just altered. x += total # Iterate through the columns. for x in range(width): for y in range(height): # Make sure we're on a dark pixel. if data[x, y] &gt; 128: continue # Keep a total of non-white contiguous pixels. total = 0 # Check a sequence ranging from y to image.height. for c in range(y, height): # If the pixel is dark, add it to the total. if data[x, c] &lt; 128: total += 1 # If the pixel is light, stop the sequence. else: break # If the total is less than the chop, replace everything with white. if total &lt;= chop: for c in range(total): data[x, y + c] = 255 # Skip this sequence we just altered. y += total image.save(sys.argv[3]) </code></pre> <p>So, basically I would like to know a better algorithm/code to get rid of the noise and thus able to make the image readable by the OCR (Tesseract or pytesser).</p>
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